Skip to main content

Graphical toolkit for RT-DC data management

Project description

PyPI Version Build Status Unix Build Status Win Coverage Status

DCKit is a graphical toolkit for performing several data editing tasks that would otherwise be only available via the dclab command-line interface or (for the .rtdc file format) via external tools such as HDFView.

Installation

A Windows installer and macOS packages are available from the release page. If you have Python 3 installed, you may also use pip to install DCKit:

# install dckit
pip install dckit
# run dckit
dckit

Usage

The interface is mostly self-explanatory. Add measurements via the options in the File menu or by drag-and-dropping files into DCKit. You may edit entries in the Sample column and apply the changes via the Update sample names button on the right.

Testing

pip install -e .
python -m pytest tests

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for dckit, version 0.12.16
Filename, size File type Python version Upload date Hashes
Filename, size dckit-0.12.16-py3-none-any.whl (86.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size dckit-0.12.16.tar.gz (232.2 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page